UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2206768


Registration ID:
404828

Page Number

h611-h617

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Title

CUSTOMER SEGMENTATION FOR MARKETING USING MACHINE LEARNING K-MEANS CLUSTERING ALGORITHM

Abstract

In this present work, the objective is to segment a large group of credit card users according to similarities and usage characteristics. Customer segmentation is then used by marketing department to tailor products and services specific to these customer segments. With the help of machine learning technique one can sort out the data and can find the target group by applying several algorithms to the dataset. Without this, it will be very difficult and no better techniques are available to find the group of people with similar character and interests in a large dataset. Here, the customer segmentation using k-means clustering helps to group the data with same attributes which exactly helps to marketing the best. We are going to use elbow method to find the number of clusters and at last we visualize the data. In this project K-means machine learning algorithm is used to form clusters of different customers. In this competitive market, it is of great significance to divide customer groups to develop customer centered products which would help them to derive successful marketing strategies and also understand what a customer wants. This helps in unravelling the hidden patterns in the data for better decision making for the future and which segment of customers to be targeted.

Key Words

Clustering, Elbow Method, K-Means algorithm, Customer Segmentation

Cite This Article

"CUSTOMER SEGMENTATION FOR MARKETING USING MACHINE LEARNING K-MEANS CLUSTERING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.h611-h617, June-2022, Available :http://www.jetir.org/papers/JETIR2206768.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"CUSTOMER SEGMENTATION FOR MARKETING USING MACHINE LEARNING K-MEANS CLUSTERING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pph611-h617, June-2022, Available at : http://www.jetir.org/papers/JETIR2206768.pdf

Publication Details

Published Paper ID: JETIR2206768
Registration ID: 404828
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: h611-h617
Country: Krishna, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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